Experts Examine Ethical Implications of Artificial Intelligence

IEEE Ethically Aligned Design outreach committee co-chair Maya Zuckerman presided over an NAB 2019 panel examining the thorny issues surrounding ethics and artificial intelligence. With Augmented Leadership Institute chief executive Sari Stenfors and Corto chief executive Yves Bergquist, who is lead of AI and neuroscience at USC’s Entertainment Technology Center, the consensus was there is too much focus on AI creating dystopian outcomes. In fact, Stenfors strongly believes AI can contribute to a utopian society. Continue reading Experts Examine Ethical Implications of Artificial Intelligence

Google Establishes Advisory Panel to Examine AI Fairness

Google is forming the Advanced Technology External Advisory Council (ATEAC), an external eight-member advisory group to “consider some of the most complex challenges [in AI],” such as facial recognition and fairness. The move comes about a year after Google issued a charter stating its AI principles, and months after Google said it would not provide “general-purpose facial recognition APIs” before the ATEAC addresses relevant policy issues. The advisory group will hold four meetings in 2019, starting in April. Continue reading Google Establishes Advisory Panel to Examine AI Fairness

Microsoft Opens an AI Business School For Non-Tech Execs

Microsoft debuted its AI Business School, offering instructional videos and case studies to help business executives create and implement AI within their companies. The school, which is similar to such guides as Andrew Ng’s AI Transformation Playbook, grew out of three years of conversations with customers already implementing AI, as well as the company’s own experiences. Microsoft vice president of AI marketing and productization Mitra Azizirad said the guide will focus on strategy, culture, technology basics and AI ethics. Continue reading Microsoft Opens an AI Business School For Non-Tech Execs

Keynote: IBM Chief Uses Case Studies to Explain Deep Data

IBM chair, CEO and president Ginni Rometty made her second CES keynote appearance and focused on artificial intelligence, big data, quantum computing, and closing the skills gap in computer science in a series of onstage conversations. Rometty drew a distinction between big data and deep data as she explained that there is a tremendous amount of information collected for specific analysis, but there is a wealth of analytical and predictive opportunity yet available. As an example, she cited analysis of fingernails as a means of predicting health issues or weather data to better forecast mid-air turbulence. Continue reading Keynote: IBM Chief Uses Case Studies to Explain Deep Data

CES Panel: Industry Execs Discuss Ethical Implications of AI

Industry leaders gathered at CES to discuss the ethics of artificial intelligence. Isaac Asimov’s Three Laws of Robotics protect humans from physical harm by robots, moderator Kevin Kelly of BigBuzz Marketing Group started out, but how do we protect ourselves from other types of technology-driven harm? AI experts Anna Bethke from Intel, David Hanson from Hanson Robotics, and Mina Hanna from the IEEE had a wide-ranging discussion on how to identify, shape and possibly regulate aspects of AI development that can have ethical and moral ramifications. Continue reading CES Panel: Industry Execs Discuss Ethical Implications of AI

Accounting, Finance Industries Demand Explainable AI Tools

As artificial intelligence-based tools become more widespread in the business industry, cloud service companies are debuting tools that explain the artificial intelligence algorithms they use to provide more transparency and assure users of their ethical behavior. That’s because regulated industries are demanding it. Capital One and Bank of America are just two such companies interested in using AI to improve detection of fraud, but want to know how the algorithms work before they implement such tools. Continue reading Accounting, Finance Industries Demand Explainable AI Tools

IBM and MIT Media Lab Test AI Recommendation Algorithm

Tech companies rely on artificial intelligence algorithms to recommend content, thus keeping users on their apps and platforms. While the benefit of that is obvious for the companies using AI, how the consumer might reap rewards is less clear. Some of those same companies are now asking themselves if they can both use AI to keep the consumer’s attention while also adhering to an ethical framework. IBM Research and MIT Media Lab have developed a recommendation technique that its research scientists say does just that. Continue reading IBM and MIT Media Lab Test AI Recommendation Algorithm

NAB 2017: Pre-Conference Sessions Examine Virtual Reality

It was clear from the SMPTE Future of Cinema sessions and the Post Production World sessions on VR that the NAB community has moved beyond defining virtual reality to how to address specific challenges and questions. Industry leaders gathered in Las Vegas to discuss the latest in VR production and post production, covering areas such as audio, video, hardware and more. Discussions during the pre-NAB weekend sessions also addressed compelling issues related to augmented reality, artificial intelligence, deep learning — even ethics, PR and marketing. Continue reading NAB 2017: Pre-Conference Sessions Examine Virtual Reality

IEEE Publishes First Draft Guidelines for ‘Ethically Aligned’ AI

The IEEE just published the first version of a 136-page document that it hopes will help technologists build ethically designed AI systems that can benefit humanity and avoid the pitfalls inherent in the new field. Ethics, says the IEEE, is something that technologists should consider when building autonomous systems, and it lists recommendations in the new document, titled “Ethically Aligned Design,” which are based on the input of more than 100 specialists in AI, law, ethics, philosophy and policy. Continue reading IEEE Publishes First Draft Guidelines for ‘Ethically Aligned’ AI